Machine Learning

An Application of Machine Learning to Etiological Diagnosis of Secondary Hypertension: Retrospective Study Using Electronic Medical Records

Xiaolin Diao, Yanni Huo, Zhanzheng Yan, Haibin Wang, Jing Yuan, Yuxin Wang, Jun Cai, Wei Zhao

JMIR Med Inform 2021 (Jan 25); 9(1):e19739

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Risk Stratification for Early Detection of Diabetes and Hypertension in Resource-Limited Settings: Machine Learning Analysis

Justin J Boutilier, Timothy C Y Chan, Manish Ranjan, Sarang Deo

J Med Internet Res 2021 (Jan 21); 23(1):e20123

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Use of BERT (Bidirectional Encoder Representations from Transformers)-Based Deep Learning Method for Extracting Evidences in Chinese Radiology Reports: Development of a Computer-Aided Liver Cancer Diagnosis Framework

Honglei Liu, Zhiqiang Zhang, Yan Xu, Ni Wang, Yanqun Huang, Zhenghan Yang, Rui Jiang, Hui Chen

J Med Internet Res 2021 (Jan 12); 23(1):e19689

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Pupillary Responses for Cognitive Load Measurement to Classify Difficulty Levels in an Educational Video Game: Empirical Study

Hugo Mitre-Hernandez, Roberto Covarrubias Carrillo, Carlos Lara-Alvarez

JMIR Serious Games 2021 (Jan 11); 9(1):e21620

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Gaining Insights Into the Estimation of the Circadian Rhythms of Social Activity in Older Adults From Their Telephone Call Activity With Statistical Learning: Observational Study

Timothée Aubourg, Jacques Demongeot, Nicolas Vuillerme

J Med Internet Res 2021 (Jan 08); 23(1):e22339

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Accurately Differentiating Between Patients With COVID-19, Patients With Other Viral Infections, and Healthy Individuals: Multimodal Late Fusion Learning Approach

Ming Xu, Liu Ouyang, Lei Han, Kai Sun, Tingting Yu, Qian Li, Hua Tian, Lida Safarnejad, Hengdong Zhang, Yue Gao, Forrest Sheng Bao, Yuanfang Chen, Patrick Robinson, Yaorong Ge, Baoli Zhu, Jie Liu, Shi Chen

J Med Internet Res 2021 (Jan 06); 23(1):e25535

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Automatically Explaining Machine Learning Prediction Results on Asthma Hospital Visits in Patients With Asthma: Secondary Analysis

Gang Luo, Michael D Johnson, Flory L Nkoy, Shan He, Bryan L Stone

JMIR Med Inform 2020 (Dec 31); 8(12):e21965

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Deep Neural Network for Reducing the Screening Workload in Systematic Reviews for Clinical Guidelines: Algorithm Validation Study

Tomohide Yamada, Daisuke Yoneoka, Yuta Hiraike, Kimihiro Hino, Hiroyoshi Toyoshiba, Akira Shishido, Hisashi Noma, Nobuhiro Shojima, Toshimasa Yamauchi

J Med Internet Res 2020 (Dec 30); 22(12):e22422

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Extraction of Family History Information From Clinical Notes: Deep Learning and Heuristics Approach

João Figueira Silva, João Rafael Almeida, Sérgio Matos

JMIR Med Inform 2020 (Dec 29); 8(12):e22898

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An Artificial Intelligence Model to Predict the Mortality of COVID-19 Patients at Hospital Admission Time Using Routine Blood Samples: Development and Validation of an Ensemble Model

Hoon Ko, Heewon Chung, Wu Seong Kang, Chul Park, Do Wan Kim, Seong Eun Kim, Chi Ryang Chung, Ryoung Eun Ko, Hooseok Lee, Jae Ho Seo, Tae-Young Choi, Rafael Jaimes, Kyung Won Kim, Jinseok Lee

J Med Internet Res 2020 (Dec 23); 22(12):e25442

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Stochastic Channel-Based Federated Learning With Neural Network Pruning for Medical Data Privacy Preservation: Model Development and Experimental Validation

Rulin Shao, Hongyu He, Ziwei Chen, Hui Liu, Dianbo Liu

JMIR Form Res 2020 (Dec 22); 4(12):e17265

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Technical Aspects of Developing Chatbots for Medical Applications: Scoping Review

Zeineb Safi, Alaa Abd-Alrazaq, Mohamed Khalifa, Mowafa Househ

J Med Internet Res 2020 (Dec 18); 22(12):e19127

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Detecting Miscoded Diabetes Diagnosis Codes in Electronic Health Records for Quality Improvement: Temporal Deep Learning Approach

Sina Rashidian, Kayley Abell-Hart, Janos Hajagos, Richard Moffitt, Veena Lingam, Victor Garcia, Chao-Wei Tsai, Fusheng Wang, Xinyu Dong, Siao Sun, Jianyuan Deng, Rajarsi Gupta, Joshua Miller, Joel Saltz, Mary Saltz

JMIR Med Inform 2020 (Dec 17); 8(12):e22649

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Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review

Christine Buchanan, M Lyndsay Howitt, Rita Wilson, Richard G Booth, Tracie Risling, Megan Bamford

JMIR Nursing 2020 (Dec 17); 3(1):e23939

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Automated Categorization of Systemic Disease and Duration From Electronic Medical Record System Data Using Finite-State Machine Modeling: Prospective Validation Study

Gumpili Sai Prashanthi, Ayush Deva, Ranganath Vadapalli, Anthony Vipin Das

JMIR Form Res 2020 (Dec 17); 4(12):e24490

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Computing SARS-CoV-2 Infection Risk From Symptoms, Imaging, and Test Data: Diagnostic Model Development

Christopher D'Ambrosia, Henrik Christensen, Eliah Aronoff-Spencer

J Med Internet Res 2020 (Dec 16); 22(12):e24478

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Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Diabetic Disease Setting

Junetae Kim, Sangwon Lee, Eugene Hwang, Kwang Sun Ryu, Hanseok Jeong, Jae Wook Lee, Yul Hwangbo, Kui Son Choi, Hyo Soung Cha

J Med Internet Res 2020 (Dec 16); 22(12):e18418

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Artificial Intelligence in the Fight Against COVID-19: Scoping Review

Alaa Abd-Alrazaq, Mohannad Alajlani, Dari Alhuwail, Jens Schneider, Saif Al-Kuwari, Zubair Shah, Mounir Hamdi, Mowafa Househ

J Med Internet Res 2020 (Dec 15); 22(12):e20756

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Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models

Xi Yang, Hansi Zhang, Xing He, Jiang Bian, Yonghui Wu

JMIR Med Inform 2020 (Dec 15); 8(12):e22982

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De-Identification of Facial Features in Magnetic Resonance Images: Software Development Using Deep Learning Technology

Yeon Uk Jeong, Soyoung Yoo, Young-Hak Kim, Woo Hyun Shim

J Med Internet Res 2020 (Dec 10); 22(12):e22739

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